Pith Number
pith:NSHN56BN
pith:2023:NSHN56BNA2VORLAWP4BXCXM7CN
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Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
arxiv:2304.06959 v1 · 2023-04-14 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NSHN56BNA2VORLAWP4BXCXM7CN}
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Record completeness
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T06:01:03.676697Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c8edef82d06aae8ac167f03715d9f135c6d1c59f78f0bb6b983ded17b8838b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NSHN56BNA2VORLAWP4BXCXM7CN \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6c8edef82d06aae8ac167f03715d9f135c6d1c59f78f0bb6b983ded17b8838b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a1467a991131786b9cc63c6897a674a24a9d59f5a4f307381e9a146c6f7f23b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-04-14T07:04:07Z",
"title_canon_sha256": "ee92a2bbed9b08851ae78f9ec70566075caeff3805b918cc3fc3874d8f33aae5"
},
"schema_version": "1.0",
"source": {
"id": "2304.06959",
"kind": "arxiv",
"version": 1
}
}